Lecturer (Teaching) in Machine Learning (Part- time 0.2 fte) Part-time

Lecturer (Teaching) in Machine Learning (Part-time 0.2 fte)

The main purpose of the role is to carry out teaching, administration and related duties within the Department, with particular contributions to AI related modules.

This role is offered on a part-time contract (0.2 FTE). The full-time equivalent annual salary is £54,931–£62,903, pro rata, inclusive of the London Allowance. Funding is available for all post until 31st August 2027 in the first instance.

The post holder should exhibit Machine Learning knowledge and an ability to teach students associated subject matter. A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the 'Apply Now' button below. If you have any queries regarding the vacancy or the application process, please contact delmiro.fernandez-reyes@ucl.ac.uk

At UCL, we believe work should fit around life – not the other way around. That's why we offer flexible working options, including part-time roles and job-sharing opportunities wherever possible. But it's not just about flexibility – it's about feeling rewarded, too. When you join UCL, you'll enjoy:

• 41 days of holiday (pro rata for part-time staff) – that's 27 days of annual leave, 8 bank holidays, and 6 closure days
• Cycle to work scheme – save money and stay healthy
• Season ticket loan – making your commute more affordable
• On-site gym – fitness made convenient
• Employee Assistance Programme – for confidential wellbeing support when you need it.

Whether you're looking to grow your career or simply find a better balance, UCL could be the right place for you. Learn more about our full range of benefits at: ucl.ac.uk/work-at-ucl/reward-and-benefits

The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.